3 papers
eess.SY2025
Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
Non-ideal communication links, especially delays, critically affect fast networked controls in power systems, such as the wide-area damping control (WADC). Traditionally, a delay e…
eess.SY2025
PGLib-CO2: A Power Grid Library for Real-Time Computation and Optimization of Carbon Emissions
Young-ho Cho, Min-Seung Ko, Hao Zhu
Achieving a sustainable electricity infrastructure requires the explicit integration of carbon emissions into power system modeling and optimization. However, existing open-source…
math.OC2023
Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls
Kyung-bin Kwon, Sayak Mukherjee, Thanh Long Vu +1
This paper develops a risk-aware controller for grid-forming inverters (GFMs) to minimize large frequency oscillations in GFM inverter-dominated power systems. To tackle the high v…